Open AccessResearch on steel ball surface defect detection device based on machine vision
Author(s) -
Chenchen Dong,
Weiwei Zhu,
Jinling Wei,
Hangchao Zhou,
Feng Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2029/1/012127
Subject(s) - ball (mathematics) , brightness , software , materials science , computer science , mechanical engineering , artificial intelligence , computer vision , structural engineering , engineering , optics , geometry , physics , mathematics , programming language
Based on machine vision technology, aiming at the characteristics of steel ball surface defect detection, a set of steel ball surface defect detection device is designed and built. The device designs a V-shaped groove unfolding mechanism which is composed of a turntable, an inner ring and an outer ring, through the intermittent rotation of the inner ring and the outer ring at different speeds, the steel ball can be rapidly deployed in the whole region, so the image collected by the system can cover the whole surface of the steel ball. In order to solve the halo phenomenon of steel ball picture and the mapping of surrounding objects, based on the principle of diffuse lighting, the bowl-shaped dome light source with adjustable brightness is selected, the quality of steel ball surface image and the effective area of detection are effectively improved. Based on LabVIEW software platform, a software is developed to collect and process the surface image of steel ball and identify the surface defect features. Test surface the device can accurately identify whether there are defects on the tested steel ball surface.